Sr. Machine Learning Engineer (Python) - Career Developers : Job Details

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Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process.

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Senior Machine Learning Engineer (Python)Location: Manhattan, NY (Hybrid Work Environment)Salary: OPENDescription:Are you a seasoned machine learning expert looking to make a tangible impact on cutting-edge research in life sciences? We are seeking innovative engineers to join a collaborative team dedicated to advancing drug discovery using the latest in machine learning techniques.In this role, you will work at the intersection of computational science and biology, applying machine learning to solve complex problems in areas such as biomolecular simulation, biophysics, and cheminformatics. This is a unique opportunity to contribute to groundbreaking projects while collaborating with experts in diverse fields like chemistry, biology, and computer science.What We're Looking For:

• Strong expertise in developing deep learning techniques.
• Proficiency in Python and familiarity with frameworks such as TensorFlow or PyTorch.
• Interest or experience in molecular dynamics, structural biology, or quantum chemistry.
• Intellectual curiosity, versatility, and a strong track record of innovation in machine learning.

What my client Offers:

• Opportunities for growth and collaboration in a positive, inclusive work environment.
• This role is ideal for candidates who thrive in interdisciplinary settings and are passionate about applying machine learning to real-world scientific challenges.

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